The self-attention mechanism (SAM) is widely used in various fields of
a...
In computer vision, the performance of deep neural networks (DNNs) is hi...
Diffusion models, which have emerged to become popular text-to-image
gen...
The structural re-parameterization (SRP) technique is a novel deep learn...
With the development of deep learning techniques, AI-enhanced numerical
...
Attention networks have successfully boosted accuracy in various vision
...
More and more empirical and theoretical evidence shows that deepening ne...
Aiming to ensure chatbot quality by predicting chatbot failure and enabl...
Ensemble-based large-scale simulation of dynamical systems is essential ...
Although deep reinforcement learning (RL) has been successfully applied ...
Recently, many plug-and-play self-attention modules are proposed to enha...
Channel pruning is one of the most important techniques for compressing
...
Batch Normalization (BN) (Ioffe and Szegedy 2015) normalizes the feature...
Attention-based deep neural networks (DNNs) that emphasize the informati...